Core D: Computational Biology

The new methods being used by the research projects require new methods in data analysis. These studies may represent high-dimensional biology, with its emphasis on "omic" technologies and complicated questions addressing the possible interaction of environmental exposures and high-dimensional measures of the genome, proteome, etc. These high-dimensional data sets are characterized by thousands of measurements made on only a few independent units such as people. There is a parallel evolution in the field of biostatistics toward developing methodologies that can find patterns in high dimensional data sets in addition to providing proper statistical methods to assess relationships for these patterns. Besides offering consultation on traditional epidemiological experimental design and analysis questions, the computational biology core will provide relevant and rigorous statistical techniques.